Overview of AI-Based Approaches to Remote Monitoring and Assistance in Orthopedic Rehabilitation-Reference-Cited by-同舟云学术

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Overview of AI-Based Approaches to Remote Monitoring and Assistance in Orthopedic Rehabilitation

Published:2022 Issue: Volume: Page:535-553
ISSN:
Container-title:Personalized Orthopedics
language:
Short-container-title:

Author:

Misic Dragan,Zdravkovic Milan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98279-9_18

Reference57 articles.

1. Altman NS (1992) An introduction to Kernel and nearest-neighbor nonparametric regression. Am Stat 46:175–185. https://doi.org/10.1080/00031305.1992.10475879

2. Anthony CA, Volkmar A, Shah AS et al (2018) Communication with orthopedic trauma patients via an automated mobile phone messaging robot. Telemed J E Health 24:504–509. https://doi.org/10.1089/tmj.2017.0188

3. Argent R, Drummond S, Remus A et al. (2019) Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor. J Rehabil Assistive Technol Eng 6. https://doi.org/10.1177/2055668319868544

4. Bevilacqua A, Huang B, Argent R et al (2018) Automatic classification of knee rehabilitation exercises using a single inertial sensor: a case study. IEEE 15th international conference on wearable and implantable body sensor networks (BSN). https://doi.org/10.1109/BSN.2018.8329649

5. Bian Y, Xiang Y, Tong B et al (2020) Artificial intelligence—assisted system in postoperative follow-up of orthopedic patients: exploratory quantitative and qualitative study. J Med Internet Res 22:e16896. https://doi.org/10.2196/16896

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patient-Specific Pain Model for Identifying Patients at Risk Following TKA;Journal of Orthopaedic Experience & Innovation;2023-08-31

2. Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

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